An Improved Outdoor Camera Calibration Method Based On EKF

DOI

10.2991/ccit-14.2014.68How to use a DOI?

Keywords

camera calibration, GPS coordinate, EKF, world coordinate error

Abstract

An improved outdoor camera calibration method based on Extended Kalman Filter (EKF) is proposed in this paper. GPS coordinate system is introduced to establish world coordinate system in the calibration procedure. According to the characteristics of GPS coordinate converted to plane coordinate and the camera calibration model, we establish the mapping relations of reference points between image plane coordinate and the world coordinate. Further, we consider the world coordinate error, set the world coordinates as the measure quantities, use the method of EKF to get the optimal estimation of intrinsic and extrinsic camera parameters, in EKF the camera’s intrinsic and extrinsic parameters are set as state variables, the transformation equations of image coordinate to the world coordinate are set as the measurement equations, and we let the observed feature points’ image coordinates and corresponding world coordinates as the input of the filter. Experimental results confirmed that the proposed method with high precision.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shaopo Zhu
AU  - Dong Hu
PY  - 2014/01
DA  - 2014/01
TI  - An Improved Outdoor Camera Calibration Method Based On EKF
BT  - Proceedings of the 2014 International Conference on Computer, Communications and Information Technology
PB  - Atlantis Press
SP  - 261
EP  - 265
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccit-14.2014.68
DO  - 10.2991/ccit-14.2014.68
ID  - Zhu2014/01
ER  -